Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation

Patrick Littell, Chi-kiu Lo, Samuel Larkin, Darlene Stewart


Abstract
We describe the neural machine translation (NMT) system developed at the National Research Council of Canada (NRC) for the Kazakh-English news translation task of the Fourth Conference on Machine Translation (WMT19). Our submission is a multi-source NMT taking both the original Kazakh sentence and its Russian translation as input for translating into English.
Anthology ID:
W19-5326
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
Month:
August
Year:
2019
Address:
Florence, Italy
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
267–274
Language:
URL:
https://aclanthology.org/W19-5326
DOI:
10.18653/v1/W19-5326
Bibkey:
Cite (ACL):
Patrick Littell, Chi-kiu Lo, Samuel Larkin, and Darlene Stewart. 2019. Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 267–274, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation (Littell et al., WMT 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/auto-file-uploads/W19-5326.pdf